城市三维景观格局特征与社会环境因子的交互影响: 基于增强回归树

doi:10.13287/j.1001-9332.202109.011

应用生态学报 ›› 2021, Vol. 32 ›› Issue (9): 3311-3320.doi: 10.13287/j.1001-9332.202109.011

城市三维景观格局特征与社会环境因子的交互影响: 基于增强回归树

董芊芊^1,2, 刘垚燚^1,2, 曾鹏^1,2, 孙凤云^1,2,3*, 张然⁴, 田恬^1,2, 车越^1,2

¹华东师范大学生态与环境科学学院, 上海 200241;
²上海市城市化生态过程与生态恢复重点实验室, 上海 200241;
³上海师范大学环境与地理科学学院, 上海 200234;
⁴上海勘测设计研究院有限公司, 上海 200335

收稿日期:2021-02-18 接受日期:2021-05-31 出版日期:2021-09-15 发布日期:2022-03-15
通讯作者: * E-mail: fysun@shnu.edu.cn
作者简介:董芊芊, 女, 1998年生, 硕士研究生。主要从事生态环境政策及规划的研究。E-mail: sylvia_dqq@163.com
基金资助:
上海市“科技创新行动计划”社会发展科技领域课题(19DZ1204604)资助

Interaction between the characteristics of urban three-dimensional landscape pattern and social-environmental factors based on boosted regression tree

DONG Qian-qian^1,2, LIU Yao-yi^1,2, ZENG Peng^1,2, SUN Feng-yun^1,2,3*, ZHANG Ran⁴, TIAN Tian^1,2, CHE Yue^1,2

¹School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, China;
²Shanghai Key Laboratory for Urban Ecological Processes and Eco-Restoration, Shanghai 200241, China;
³School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai 200234, China;
⁴Shanghai Investigation, Design & Research Institute Co., Ltd, Shanghai 200335, China

Received:2021-02-18 Accepted:2021-05-31 Online:2021-09-15 Published:2022-03-15
Contact: * E-mail: fysun@shnu.edu.cn
Supported by:
Shanghai “Science and Technology Innovation Action Plan” Social Development Science and Technology Project (19DZ1204604)

摘要/Abstract

摘要： 城市的垂向扩展加深了城市构成与格局的复杂性,传统的二维景观格局研究较难完整体现当前城市景观的生态结构与功能特性。本研究以上海市中心城区为研究区域,选取三维景观格局指数量化研究区域三维景观格局,并运用增强回归树机器学习算法综合分析社会、环境因子与城市景观格局的交互影响。结果表明: 高建筑率、平均建筑高度和建筑高度标准偏差在上海市内环周边区域的数值较高,建筑数量、景观形状指数在外环周边的数值较高,建筑覆盖率、容积率和Shannon多样性指数在城市中心的数值较高,且浦西总体高于浦东。人口密度和归一化植被指数(NDVI)对三维景观格局的交互影响最显著,生产总值的影响程度最低。三维景观格局指数在一定范围内随社会因子中的人口密度增大而增大,随环境因子中的NDVI和水面率增大而减小。增强回归树可作为量化景观格局与社会环境因子之间交互影响关系的有效工具。研究结果有利于加深对上海市中心城区生态环境与人类福祉之间关系的理解,同时可为城市三维扩展规划提供科学依据。

关键词: 三维景观格局, 景观格局指数, 增强回归树, 边际效应

Abstract: Vertical expansion makes the structure and pattern of the city more complicated. Traditional two-dimensional landscape pattern cannot completely reflect the ecological structure and functional characteristics of urban landscape. In this study, we used the three-dimensional landscape pattern metrics to quantify the regional three-dimensional landscape pattern, and used boosted regression tree (BRT) machine learning algorithms to comprehensively analyze the interaction between social-environmental factors and urban landscape patterns in the central part of Shanghai. Results showed that high building ratio, mean architecture height, and architecture height standard deviation had higher values in the surrounding area of the inner ring. The number of buildings and landscape shape index were higher in the outer ring than those in other area. Building coverage ratio, floor area ratio and Shannon's diversity index had higher values in the central part, with the metrics of Puxi being generally higher than those of Pudong. Population density and normalized vegetation index (NDVI) interacted most significantly with the three-dimensional landscape pattern, with GDP as the least influential factor. Within a certain range, the three-dimensional landscape pattern metrics increased with larger population density in the social factors, and decreased with lower rate of NDVI and water surface ratio in the environmental factors. Our results demonstrated that the BRT method was effective in quantifying the interaction between landscape pattern and social-environmental factors. Our results help improve the understanding of the relationship between ecological environment and human well-being in the central part of Shanghai and provide a scientific basis for the urban three-dimensional expansion planning.

Key words: three-dimensional landscape pattern, landscape pattern metrics, boosted regression tree, marginal effect

董芊芊, 刘垚燚, 曾鹏, 孙凤云, 张然, 田恬, 车越. 城市三维景观格局特征与社会环境因子的交互影响: 基于增强回归树[J]. 应用生态学报, 2021, 32(9): 3311-3320.

DONG Qian-qian, LIU Yao-yi, ZENG Peng, SUN Feng-yun, ZHANG Ran, TIAN Tian, CHE Yue. Interaction between the characteristics of urban three-dimensional landscape pattern and social-environmental factors based on boosted regression tree[J]. Chinese Journal of Applied Ecology, 2021, 32(9): 3311-3320.

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城市三维景观格局特征与社会环境因子的交互影响: 基于增强回归树

Interaction between the characteristics of urban three-dimensional landscape pattern and social-environmental factors based on boosted regression tree

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